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, transcriptome and genome analysis software, Linux environment, HPC systems, TopHat, Bowtie, DESeq2, enrichment analysis tools, Genevestigator, psRNATarget, OmicsBox, etc.; experience using public omics databases
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
with process modeling software such as Aspen Plus and LCA software such as GREET. Job #25051 The position will be located on the MIT campus in Cambridge, MA. This is a one-year position with
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Proficiency in statistical software (R or SAS required; Mplus is an asset) Critical thinking and adaptability in an interdisciplinary environment Ability to work independently and in collaboration within a
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simulation software, e.g., Wireless Insite, Zemax Proven track record of publications in relevant IEEE journals and conferences The candidates will be considered until the position is filled. To be considered
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state of the art, including scientific literature, tools, models, best practices. Initiative and ability to work independently and collaboratively within a cross-functional team, including software
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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modeling methods. The Postdoc position will lead to the creation of new software tools and algorithms, will involve the preparation of papers and conference presentations on this work, engagement with
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and resilience. TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness
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to software tools to deploy developed approaches (10%) • Contribute to other publications, grant proposals, and internal R&D efforts (10%) • Contribute to professional service activities (10%) Minimum
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite